Federico Faggin is best known as the inventor of the first commercial microprocessor — but his journey didn’t stop with silicon. In this mind-expanding episode, he explores the science of consciousness, the nature of free will, and what reality really is. With deep insight into quantum physics and decades of philosophical exploration, Federico reveals why consciousness isn’t just a brain function — it’s the foundation of everything.

In this episode, I sit down with Will Ratcliff, a full professor at Georgia Tech and director of the interdisciplinary graduate program in Quantitative Biosciences, to explore the evolutionary secrets of cooperation, complexity, and stability. Will’s research focuses on how multicellular life evolved and what biology can teach us about building stable, adaptive systems—whether in AI, governance, or economics.

Michael Levin dives deep into the intersection of biology and artificial intelligence, exploring how individual units—whether cells or humans—can form cohesive, goal-driven systems. Sharing insights into "cognitive glue," the mechanisms that bind entities into intelligent collectives, and how these principles apply to designing ethical AI. We also tackle the challenge of misinformation, the fluidity of memory and understanding, and the potential dangers and promises of AI-driven societal structures.

Renowned neuroscientist Stuart Hameroff explores the groundbreaking concept of quantum consciousness, proposing that microtubules, quantum coherence, and aromatic rings play a key role in consciousness. Combining physics, biology, and neuroscience, he challenges traditional brain theories and examines implications for AI, spirituality, and quantum computing.

In this episode, we delve into the fundamental questions surrounding intelligence, consciousness, and the underlying science. We explore insights on the future of artificial intelligence, the importance of neuroimaging, and the potential for new treatments for neurological and psychological disorders. Discover the fascinating intersection of mind, brain, and behavior.

In this episode, we explore the challenges and opportunities of building sophisticated models with active inference, focusing on practical implementation in scalable AI and the future of principled AI in solving real-world problems.